Description

Book Synopsis
This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social and biomedical sciences. The general principles and procedures of statistical inference and model testing are covered.

Table of Contents
Bivariate Linear Regression.

Multiple Regression.

Multiple Classification Analysis.

Path Analysis.

Logit Regression.

Multinomial Logit Regression.

Survival Models 1: Life Tables.

Survival Models 2: Proportional Hazard Models.

Survival Models 3: Hazard Models with Time Dependence.

Appendices.

References.

Index.

Statistical Models for Causal Analysis

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    A Hardback by Robert D. Retherford, Minja Kim Choe

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      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 11/01/1994
      ISBN13: 9780471558026, 978-0471558026
      ISBN10: 0471558028

      Description

      Book Synopsis
      This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social and biomedical sciences. The general principles and procedures of statistical inference and model testing are covered.

      Table of Contents
      Bivariate Linear Regression.

      Multiple Regression.

      Multiple Classification Analysis.

      Path Analysis.

      Logit Regression.

      Multinomial Logit Regression.

      Survival Models 1: Life Tables.

      Survival Models 2: Proportional Hazard Models.

      Survival Models 3: Hazard Models with Time Dependence.

      Appendices.

      References.

      Index.

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